{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基于波士顿房屋租赁数据进行房屋租赁价格预测模型构建，分布使用Lasso回归、Ridge回两种回归算法构建模型，并分别构建1/2/3阶算法中的最优算法(参数)，并比较这两种回归算法的效果；另外使用lasso回归算法做特征选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.\n",
      "  \"This module will be removed in 0.20.\", DeprecationWarning)\n",
      "D:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\grid_search.py:42: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. This module will be removed in 0.20.\n",
      "  DeprecationWarning)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import warnings\n",
    "import sklearn\n",
    "from sklearn.linear_model import LinearRegression, LassoCV, RidgeCV, ElasticNetCV\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.linear_model.coordinate_descent import ConvergenceWarning\n",
    "from sklearn.cross_validation import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.grid_search import GridSearchCV\n",
    "from sklearn import metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def notEmpty(s):\n",
    "    return s != ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 设置字符集，防止中文乱码\n",
    "mpl.rcParams['font.sans-serif']=[u'simHei']\n",
    "mpl.rcParams['axes.unicode_minus']=False\n",
    "\n",
    "# 拦截异常，忽略那些影响美观但是不影响运行的警告信息\n",
    "warnings.filterwarnings(action = 'ignore', category=ConvergenceWarning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "样本数据量:506, 特征个数：13\n",
      "target样本数据量:506\n"
     ]
    }
   ],
   "source": [
    "# 加载数据\n",
    "names = ['CRIM','ZN', 'INDUS','CHAS','NOX','RM','AGE','DIS','RAD','TAX','PTRATIO','B','LSTAT']\n",
    "path = \"datas/boston_housing.data\"\n",
    "\n",
    "# 由于数据文件格式不统一，所以读取的时候，先按照一行一个字段属性读取数据，然后再安装每行数据进行处理\n",
    "fd = pd.read_csv(path, header=None)\n",
    "data = np.empty((len(fd), 14))\n",
    "for i, d in enumerate(fd.values):\n",
    "    d = map(float, filter(notEmpty, d[0].split(' ')))\n",
    "    data[i] = d\n",
    "\n",
    "# 分割数据\n",
    "x, y = np.split(data, (13,), axis=1)\n",
    "y = y.ravel() # 转换格式\n",
    "\n",
    "print \"样本数据量:%d, 特征个数：%d\" % x.shape\n",
    "print \"target样本数据量:%d\" % y.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Pipeline常用于并行调参\n",
    "models = [\n",
    "    Pipeline([\n",
    "            ('ss', StandardScaler()),\n",
    "            ('poly', PolynomialFeatures()),\n",
    "            ('linear', RidgeCV(alphas=np.logspace(-3,1,20)))\n",
    "        ]),\n",
    "    Pipeline([\n",
    "            ('ss', StandardScaler()),\n",
    "            ('poly', PolynomialFeatures()),\n",
    "            ('linear', LassoCV(alphas=np.logspace(-3,1,20)))\n",
    "        ])\n",
    "]\n",
    "\n",
    "# 参数\n",
    "parameters = {\n",
    "    \"poly__degree\": [3,2,1],\n",
    "    \"poly__interaction_only\": [True, False],\n",
    "    \"poly__include_bias\": [True, False],\n",
    "    \"linear__fit_intercept\": [True, False]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 数据分割\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ridge算法:最优参数: {'poly__degree': 3, 'linear__fit_intercept': True, 'poly__include_bias': False, 'poly__interaction_only': True}\n",
      "Ridge算法:R值=0.832\n",
      "Lasso算法:最优参数: {'poly__degree': 3, 'linear__fit_intercept': False, 'poly__include_bias': True, 'poly__interaction_only': True}\n",
      "Lasso算法:R值=0.849\n"
     ]
    },
    {
     "data": {
      "image/png": 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OnToBjhmQhw0bxtq1a33e/7333iMtLc3178UXX6Rz586uMJ2RkUHr1q29Pra8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MwfeFGx6GScUVSCbLDy2XCo9YEfEZ8Dmpx5o4n0D54rPCIbc8LfYWXNB1AQAgywFP2Y7hojX0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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb8806a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lasso和Ridge模型比较运行图表展示\n",
    "titles = ['Ridge', 'Lasso']\n",
    "colors = ['g-', 'b-']\n",
    "plt.figure(figsize=(16,8), facecolor='w')\n",
    "ln_x_test = range(len(x_test))\n",
    "\n",
    "plt.plot(ln_x_test, y_test, 'r-', lw=2, label=u'真实值')\n",
    "for t in range(2):\n",
    "    # 获取模型并设置参数\n",
    "    model = GridSearchCV(models[t], param_grid=parameters, n_jobs=1)\n",
    "    # 模型训练\n",
    "    model.fit(x_train, y_train)\n",
    "    # 模型效果值获取（最优参数）\n",
    "    \n",
    "    print \"%s算法:最优参数:\" % titles[t],model.best_params_\n",
    "    print \"%s算法:R值=%.3f\" % (titles[t], model.best_score_)\n",
    "    # 模型预测\n",
    "    y_predict = model.predict(x_test)\n",
    "    # 画图\n",
    "    plt.plot(ln_x_test, y_predict, colors[t], lw = t + 3, label=u'%s算法估计值,$R^2$=%.3f' % (titles[t],model.best_score_))\n",
    "# 图形显示\n",
    "plt.legend(loc = 'upper left')\n",
    "plt.grid(True)\n",
    "plt.title(u\"波士顿房屋价格预测\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "参数: [('CRIM', 22.600592809201991), ('ZN', -0.93534557687414599), ('INDUS', 1.0202352850146847), ('CHAS', -0.0), ('NOX', 0.59483138415461523), ('RM', -1.8002644875942371), ('AGE', 2.5861907995357285), ('DIS', -0.064956108249541261), ('RAD', -2.8017533936656509), ('TAX', 1.9343329692037579), ('PTRATIO', -1.7218677875512216), ('B', -2.2762334623842988), ('LSTAT', 0.70288003005515409)]\n",
      "截距: 0.0\n"
     ]
    }
   ],
   "source": [
    "# 模型训练 ====> 单个Lasso模型（一阶特征选择）<2参数给定1阶情况的最优参数>\n",
    "model = Pipeline([\n",
    "            ('ss', StandardScaler()),\n",
    "            ('poly', PolynomialFeatures(degree=1, include_bias=True, interaction_only=True)),\n",
    "            ('linear', LassoCV(alphas=np.logspace(-3,1,20), fit_intercept=False))\n",
    "        ])\n",
    "# 模型训练\n",
    "model.fit(x_train, y_train)\n",
    "\n",
    "\n",
    "# 模型评测\n",
    "## 数据输出\n",
    "print \"参数:\", zip(names,model.get_params('linear')['linear'].coef_)\n",
    "print \"截距:\", model.get_params('linear')['linear'].intercept_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "参数: [('CRIM', 21.135499741068376), ('ZN', -0.0), ('INDUS', -0.0), ('CHAS', -0.0), ('NOX', 0.19539929236955278), ('RM', -0.0), ('AGE', 1.5662356175920531), ('DIS', -0.38131114313786807), ('RAD', -0.69604251661926086), ('TAX', 0.0), ('PTRATIO', -0.0), ('B', -1.5063986238529539), ('LSTAT', 0.0)]\n",
    "截距: 0.0"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
